5 ml ops jobs at 4 companies in Winchester, VA
1w
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ML Ops Engineer
Chantilly, Virginia, United States
HybridFull Time
6+ YOEOwnership of full production ML lifecycle, model serving for low-latency inference, monitoring/drift detection, automated retraining pipelines, Kubernetes/Docker deployment, strong Python and software engineering skills.
MLflow, SageMaker, Weights & Biases, Vertex, PyTorch, TensorFlow, ONNX, Feast, Kubernetes, Docker, Helm, Prometheus, Grafana, Evidently, TorchServe, Triton, KServe, Seldon, BentoML, Apache Airflow, Kafka, Bytewax, Flink, Spark Streaming, Kafka Streams, CUDA, NVIDIA, S3, MinIO, Redshift, EKS, OpenShift, Python
1mo
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Software Development Engineer - ML Ops (US Federal)
Reston, Virginia, United States
$137k-$205k/yr HybridFull Time
3+ YOEUS citizenship required; 3+ years DevOps experience, Python proficiency, Kubernetes/Docker experience, infrastructure automation and CI/CD pipeline expertise, ability to obtain federal security clearance.
Kubernetes, Docker, Python, IAAS, AWS, GCP, Containers, Service Mesh, ArgoCD, Grafana, Terraform, Git, Jenkins, CI/CD
4w
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Software Development Engineer - ML Ops (US Federal)
Reston, Virginia, United States
$137k-$205k/yr HybridFull Time
3+ YOEUS citizenship required; 3+ years DevOps experience with infrastructure automation, CI/CD, Python, Kubernetes/Docker; ability to obtain security clearance; strong system design and documentation skills.
Kubernetes, Docker, Python, IAAS, AWS, GCP, Containers, Service Mesh, ArgoCD, Grafana, Terraform, Git, Jenkins
2w
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Python AWS AI Architect
Plano or Raleigh or Reston or Richardson or Tempe
OnsiteFull Time
Experience designing scalable AI/ML architectures, Python and ML libraries, AWS (Bedrock,S3,EC2,Lambda,SageMaker), LLMs and prompt engineering, ML Ops and deployment; bachelor\u0002s or equivalent experience required.
Python, TensorFlow, PyTorch, scikit-learn, Bedrock, S3, EC2, Lambda, SageMaker, OpenAI, Anthropic, Cohere, Docker
2w
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Model Operations Engineer
Ashburn, Virginia, United States
$108k-$179k/yr HybridFull Time
Deep ML/Ops experience deploying and monitoring ML models, building training/inference pipelines, working with cloud and container platforms, and collaborating with data science and engineering teams.
MLflow, Kubeflow, Airflow, Alibi, Grafana, AWS SageMaker, Databricks, DataRobot, Docker, AWS, Azure, GCP, Python, Scala, Java, Elastic Stack, Hadoop, Spark, Impala, MySQL, Elasticsearch, Solr, Oracle, Postgres, MongoDB, Lambda, GraphQL, PyTorch, TensorFlow, Keras, OpenCV, SimpleITK, ITK, VTK